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Alibaba Cloud Developer
Alibaba Cloud Developer
Dec 5, 2018 · Artificial Intelligence

How AI Optimizes E‑Commerce ‘Bundle‑Buy’ with Graph Embedding & Knapsack

This article explains how Alibaba's search team leverages AI techniques such as graph embedding, scenario‑based recommendation, and a multiple‑choice knapsack model to intelligently select complementary items during the Double Eleven shopping festival, balancing price constraints, user experience, and conversion efficiency.

Recommendation Systemse-commercegraph embedding
0 likes · 15 min read
How AI Optimizes E‑Commerce ‘Bundle‑Buy’ with Graph Embedding & Knapsack
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 30, 2018 · Artificial Intelligence

How Multi‑Source Pointer Networks Transform E‑Commerce Product Title Generation

This article presents a multi‑source pointer network approach for generating concise, brand‑preserving product short titles in e‑commerce, detailing problem formalization, model architecture, extensive offline and online experiments, and demonstrating significant improvements over traditional truncation and seq2seq baselines.

deep learninge-commercepointer network
0 likes · 16 min read
How Multi‑Source Pointer Networks Transform E‑Commerce Product Title Generation
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 20, 2018 · Artificial Intelligence

How Reinforcement Learning Powers Interactive Search in E‑Commerce

This article explains how reinforcement learning can be modeled and deployed to enable intelligent, interactive product search on e‑commerce platforms, detailing problem definition, system architecture, training methodology, online results, and future research directions.

deep learningdialogue systeme-commerce
0 likes · 17 min read
How Reinforcement Learning Powers Interactive Search in E‑Commerce
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 16, 2018 · Artificial Intelligence

How Alibaba’s Search Engine Evolved Over a Decade of Double‑11: From Offline Models to Real‑Time AI

This article traces the ten‑year evolution of Alibaba’s e‑commerce search system, detailing four major stages—from the early Pora streaming engine to dual‑link real‑time architectures, the integration of deep and reinforcement learning, and the shift to large‑scale online deep learning—while highlighting the technical drivers and future AI‑enabled search vision.

Machine LearningOnline LearningSearch
0 likes · 16 min read
How Alibaba’s Search Engine Evolved Over a Decade of Double‑11: From Offline Models to Real‑Time AI
Alibaba Cloud Infrastructure
Alibaba Cloud Infrastructure
Nov 11, 2018 · Operations

A Decade of Double 11: Technical Evolution and Operational Lessons from Alibaba

Over ten years of Alibaba's Double 11, the company transformed a modest marketing event into a global e‑commerce platform by continuously improving backend architecture, scaling strategies, full‑link stress testing, multi‑active data centers, cloud migration, and real‑time incident response, offering valuable operational insights.

AlibabaOperationsbackend
0 likes · 15 min read
A Decade of Double 11: Technical Evolution and Operational Lessons from Alibaba
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 6, 2018 · Operations

How Alibaba Scaled Double 11: Lessons from a Decade of E‑commerce Mega‑Events

From its humble 2009 launch to the 2018 tenth anniversary, Alibaba’s Double 11 shopping festival evolved through relentless technical challenges—system crashes, CDN bottlenecks, over‑selling bugs, and massive load‑testing innovations—offering a decade‑long case study in operations, scalability, and resilience for large‑scale e‑commerce platforms.

OperationsScalabilitye-commerce
0 likes · 16 min read
How Alibaba Scaled Double 11: Lessons from a Decade of E‑commerce Mega‑Events
Youku Technology
Youku Technology
Nov 5, 2018 · Artificial Intelligence

Intelligent Interactive Practices for Multimedia Live Streaming: Insights from Taobao Live

The talk outlines Taobao Live’s rapid growth and three‑layer interactive architecture—dynamic AI‑driven marketing tools, human‑computer interaction features such as facial and gesture recognition, and intelligent operations that score fan intimacy—to deliver low‑latency, AI‑enhanced streaming with innovations like virtual backgrounds, product recognition, and an automated live‑assistant.

Edge AIReal-time communicatione-commerce
0 likes · 9 min read
Intelligent Interactive Practices for Multimedia Live Streaming: Insights from Taobao Live
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 5, 2018 · Operations

How Alibaba Conquered Double 11: A Decade of Scaling, Crises, and Lessons

From the humble 2009 launch of Double 11 to the massive, cloud-native, multi-region architecture of 2018, Alibaba’s engineers chronicle yearly technical hurdles—traffic spikes, system crashes, CDN limits, over-selling, and the evolution of stress-testing, capacity planning, and operational safeguards that turned the shopping festival into a global engineering showcase.

Cloud ComputingOperationsScalability
0 likes · 17 min read
How Alibaba Conquered Double 11: A Decade of Scaling, Crises, and Lessons
Zhongtong Tech
Zhongtong Tech
Nov 2, 2018 · Backend Development

How to Build a High‑Availability, Scalable E‑Commerce Backend for Mega Sales

This article explains the architectural challenges of large‑scale e‑commerce platforms during massive promotional events and provides a detailed, layer‑by‑layer guide to designing a highly available, horizontally scalable, stateless micro‑service backend with robust data handling, caching, messaging, and traffic‑management strategies.

Backend Developmente-commercehigh availability
0 likes · 10 min read
How to Build a High‑Availability, Scalable E‑Commerce Backend for Mega Sales
DataFunTalk
DataFunTalk
Oct 12, 2018 · Artificial Intelligence

Market Mechanisms and Control Measures in Ele.me Food Delivery Recommendation Algorithms

The article presents a comprehensive overview of Ele.me's food‑delivery recommendation system, detailing its business model, platform goals, unique challenges, market‑driven efficiency mechanisms, control strategies, system architecture, model evolution, and online‑learning techniques used to balance short‑term performance with long‑term ecosystem health.

AIEle.meOnline Learning
0 likes · 15 min read
Market Mechanisms and Control Measures in Ele.me Food Delivery Recommendation Algorithms
Alibaba Cloud Developer
Alibaba Cloud Developer
Sep 30, 2018 · Artificial Intelligence

How Alibaba’s Search & Recommendation Evolved: From Rules to Cognitive AI

This article reviews the evolution of Alibaba’s e‑commerce search and recommendation technologies, detailing Taobao’s unique challenges, the shift from rule‑based retrieval to large‑scale machine learning, real‑time online learning, deep learning and intelligent decision‑making, and outlines future directions toward cognitive intelligence.

Machine LearningSearchcognitive AI
0 likes · 16 min read
How Alibaba’s Search & Recommendation Evolved: From Rules to Cognitive AI
网易UEDC
网易UEDC
Sep 25, 2018 · Product Management

Unlock the 4S Shopping Behavior Model and Boost E‑commerce Promotions

This article introduces the 4S user shopping search behavior model—combining awareness level and search scope—to classify shoppers into Surface, Stumble, Seek, and Sift, and then details targeted promotion tactics for each segment, including personalized coupons, impulse‑driven offers, search‑page incentives, and decision‑support discounts.

4S modele-commercemarketing research
0 likes · 14 min read
Unlock the 4S Shopping Behavior Model and Boost E‑commerce Promotions
21CTO
21CTO
Sep 24, 2018 · Artificial Intelligence

Why Recommendation Algorithms Aren’t Magic: A Practical Guide

This article explains the fundamentals of recommendation algorithms, illustrates their modest impact with real‑world examples, and outlines how modern e‑commerce systems collect data, rank items, and use rapid A/B testing to continuously improve personalized recommendations.

A/B testingMachine LearningRecommendation Systems
0 likes · 10 min read
Why Recommendation Algorithms Aren’t Magic: A Practical Guide
DataFunTalk
DataFunTalk
Sep 21, 2018 · Artificial Intelligence

Construction of a Second‑Hand E‑commerce Knowledge Graph and Its Application in Pricing Models

This article explains how a knowledge graph for second‑hand e‑commerce is built—from data extraction and entity, attribute, and relation mining to ontology construction, entity alignment, and graph integration—and describes how the resulting graph supports personalized recommendation, search optimization, and statistical or regression‑based pricing models.

Machine LearningNLPe-commerce
0 likes · 15 min read
Construction of a Second‑Hand E‑commerce Knowledge Graph and Its Application in Pricing Models
JD Tech
JD Tech
Sep 14, 2018 · Operations

Joint‑Venture Settlement Platform Overview and Billing Architecture

This document presents a comprehensive solution for merchant settlement in joint‑venture (co‑operated) offline stores, describing business models, settlement subject abstraction, billing engine components, settlement workflow, payment collection, and reconciliation architecture with detailed tables and diagrams.

FinancialMicroservicesOperations
0 likes · 18 min read
Joint‑Venture Settlement Platform Overview and Billing Architecture
JD Retail Technology
JD Retail Technology
Sep 13, 2018 · Product Management

JD.com Rental Platform: Integrated E‑commerce Rental Service and Technical Architecture

The JD.com Rental platform, launched in early 2018, combines e‑commerce and service models to offer a full‑cycle online rental experience across eight cities, leveraging custom front‑end channels, cloud‑based infrastructure, big‑data ranking algorithms, and the "Zhouzi" integration to sync millions of listings and streamline merchant operations.

Cloud Computinge-commercerental platform
0 likes · 8 min read
JD.com Rental Platform: Integrated E‑commerce Rental Service and Technical Architecture
JD Retail Technology
JD Retail Technology
Sep 4, 2018 · R&D Management

JD Automotive Value-Added Service System: Integrated Product and Service Platform

The JD Automotive Value‑Added Service System integrates product purchase and offline installation services into a seamless “product + service” experience, featuring a merchant cooperation platform, an operations management backend, agile cross‑team development, and rapid market growth with thousands of merchants and millions of SKUs.

Operations Managemente-commerceproduct-service integration
0 likes · 6 min read
JD Automotive Value-Added Service System: Integrated Product and Service Platform
HomeTech
HomeTech
Sep 4, 2018 · Backend Development

Practical Architecture of Car Mall Red Packet System and Auto Home Double‑11 Main Venue

The session presented by senior architects Wang Song and Li Yan detailed the design, technology selection, and implementation of the Car Mall red‑packet system and the Auto Home Double‑11 main‑venue platform, focusing on high‑traffic handling, server‑side rendering, performance gains, and lessons learned from real‑world deployment.

Performance OptimizationSystem Architecturebackend
0 likes · 4 min read
Practical Architecture of Car Mall Red Packet System and Auto Home Double‑11 Main Venue
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 31, 2018 · Artificial Intelligence

How Alibaba Built an E‑commerce Knowledge Graph to Power Smarter Search

This article explains Alibaba’s end‑to‑end approach to constructing an e‑commerce knowledge graph—detailing the background, challenges, data‑structuring methods, schema design, modular architecture, and deployment pipeline that enable deep user‑intent understanding across complex shopping scenarios.

AIdata modelinge-commerce
0 likes · 13 min read
How Alibaba Built an E‑commerce Knowledge Graph to Power Smarter Search
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 29, 2018 · Artificial Intelligence

How Graph Embedding Boosts E‑Commerce Recommendations: GES & EGES Explained

An in‑depth look at Alibaba’s billion‑scale graph embedding framework—GES and EGES—reveals how side‑information‑enhanced embeddings address user long‑tail coverage and cold‑start challenges, improving recommendation diversity and discovery across massive e‑commerce datasets and enabling real‑time personalized ranking.

Recommendation Systemscold starte-commerce
0 likes · 7 min read
How Graph Embedding Boosts E‑Commerce Recommendations: GES & EGES Explained
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 7, 2018 · Artificial Intelligence

How Multi‑Task Learning Can Shrink E‑Commerce Product Titles Without Losing Sales

Researchers propose a multi‑task learning approach that compresses overly long e‑commerce product titles into concise short titles by jointly training a Pointer Network for extraction and an encoder‑decoder for query generation, preserving key information and maintaining conversion rates, as validated by offline and online experiments.

e-commercemulti-task learningnatural language processing
0 likes · 11 min read
How Multi‑Task Learning Can Shrink E‑Commerce Product Titles Without Losing Sales
JD Retail Technology
JD Retail Technology
Aug 6, 2018 · R&D Management

Key Skills and Perspectives of a Successful Project Manager in E‑Commerce

The article outlines the essential professional knowledge, multifaceted responsibilities, and flexible approaches a competent e‑commerce project manager must possess, emphasizing the integration of PMBOK fundamentals, technical and business expertise, and agile practices across diverse development projects.

PMBOKProject Managementagile
0 likes · 9 min read
Key Skills and Perspectives of a Successful Project Manager in E‑Commerce
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Jul 27, 2018 · Databases

Designing Optimal Order Status Fields: Best Practices for Database Schemas

This article analyzes common disagreements in designing an order status field for e‑commerce systems, explores business state modeling, evaluates dictionary representations, recommends using varchar2 with a separate dictionary table, and provides a comprehensive set of status values and their handling guidelines.

Backend DevelopmentDatabase DesignState Machine
0 likes · 19 min read
Designing Optimal Order Status Fields: Best Practices for Database Schemas
Alibaba Cloud Developer
Alibaba Cloud Developer
Jul 26, 2018 · Artificial Intelligence

How Alibaba’s DiDa Platform Uses AI to Automate Fashion Outfit Matching

Alibaba’s DiDa platform leverages deep learning models—including CNN, LSTM, and DAN—to automatically generate fashion outfit pairings and descriptive copy, integrating a context graph for business rules, supporting real‑time personalization across e‑commerce, and demonstrating significant efficiency and CTR gains.

AIdeep learninge-commerce
0 likes · 21 min read
How Alibaba’s DiDa Platform Uses AI to Automate Fashion Outfit Matching
Alibaba Cloud Developer
Alibaba Cloud Developer
Jul 4, 2018 · Artificial Intelligence

Machine Reading Comprehension Revolutionizes E‑commerce: Alibaba’s XiaoMi and AI Models

This article reviews the background of Alibaba's XiaoMi chatbot, explores how machine reading comprehension can be applied to e‑commerce scenarios such as rule interpretation and product inquiries, surveys key datasets and SQuAD‑based models, and discusses practical challenges and solutions for deploying these technologies in real‑world business environments.

AIAlibabadeep learning
0 likes · 18 min read
Machine Reading Comprehension Revolutionizes E‑commerce: Alibaba’s XiaoMi and AI Models
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Jul 2, 2018 · Artificial Intelligence

How JD.com Built a Multi‑Screen Personalized Recommendation Engine

This article explains how JD.com evolved its recommendation system from simple product suggestions to a sophisticated, multi‑screen, multi‑type personalized engine using big‑data collection, real‑time behavior tracking, machine‑learning models, and a modular architecture that boosts conversion and user experience.

Big DataMachine Learninge-commerce
0 likes · 14 min read
How JD.com Built a Multi‑Screen Personalized Recommendation Engine
Architecture Digest
Architecture Digest
Jul 1, 2018 · Artificial Intelligence

Evolution and Architecture of JD.com Recommendation System

The article outlines the development, multi‑screen deployment, system architecture, data platform, and core recommendation engine of JD.com’s e‑commerce recommendation platform, highlighting how big‑data and AI techniques enable personalized product, activity, and content suggestions across various user touchpoints.

Machine Learninge-commercepersonalization
0 likes · 16 min read
Evolution and Architecture of JD.com Recommendation System
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 29, 2018 · Artificial Intelligence

How AI Powers Heterogeneous Content Ranking in E‑Commerce Search

This paper addresses the challenge of ranking heterogeneous data in e‑commerce by proposing two algorithms—a multi‑armed bandit approach and a personalized Markov deep neural network—to select and order content streams, demonstrating superior performance over baseline models in A/B tests.

Bandit AlgorithmsMachine Learningcontent ranking
0 likes · 7 min read
How AI Powers Heterogeneous Content Ranking in E‑Commerce Search
AntTech
AntTech
Jun 27, 2018 · Artificial Intelligence

Cross-Domain Review Helpfulness Prediction Using CNN with Auxiliary Domain Discriminators

This paper presents an end‑to‑end approach that combines an improved TextCNN with character‑level embeddings and a specific‑shared adversarial transfer‑learning framework to predict the helpfulness of e‑commerce reviews, demonstrating superior performance especially when target‑domain labeled data are scarce.

TextCNNcross-domain transfer learninge-commerce
0 likes · 12 min read
Cross-Domain Review Helpfulness Prediction Using CNN with Auxiliary Domain Discriminators
DataFunTalk
DataFunTalk
Jun 13, 2018 · Artificial Intelligence

Evolution of E‑commerce Platform Recommendation System Architecture

This article reviews the evolution of recommendation system architecture for C2C e‑commerce platforms, tracing stages from simple offline‑online pipelines through granular feed‑flow improvements, real‑time processing, and machine‑learning‑driven models, while highlighting user‑profile construction, challenges, and best‑practice guidelines.

Machine Learningarchitecturee-commerce
0 likes · 10 min read
Evolution of E‑commerce Platform Recommendation System Architecture
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 13, 2018 · Artificial Intelligence

How Alibaba’s Knowledge Graph Powers Real-Time Product Safety with AI

Alibaba’s knowledge graph leverages massive product data, NLP, semantic reasoning, and machine‑learning inference to detect and block counterfeit, infringing, or unsafe items in real time, providing millisecond‑level responses, self‑learning capabilities, and explainable decisions across e‑commerce platforms, thereby protecting intellectual property and consumer rights.

AIMachine Learninge-commerce
0 likes · 9 min read
How Alibaba’s Knowledge Graph Powers Real-Time Product Safety with AI
Architecture Digest
Architecture Digest
Jun 7, 2018 · Backend Development

Technical Summary of Large-Scale Distributed E‑Commerce Website Architecture

This article provides a comprehensive technical overview of large distributed website architecture, covering performance, high availability, scalability, security, and agility, and illustrates the evolution, design patterns, and practical optimization techniques for modern e‑commerce platforms.

CachingDistributed SystemsScalability
0 likes · 32 min read
Technical Summary of Large-Scale Distributed E‑Commerce Website Architecture
JD Tech
JD Tech
Jun 6, 2018 · Backend Development

Integration of JD Service Market and Plugin Market: Architecture, Data and Process Fusion

This article details the comprehensive integration of JD's Service Market and Plugin Market, covering system architecture, data and process fusion, service workflow unification, transaction handling, and front‑back separation redesign to achieve a unified, high‑performance e‑commerce platform.

Data FusionJD.comSystem Integration
0 likes · 13 min read
Integration of JD Service Market and Plugin Market: Architecture, Data and Process Fusion
JD Retail Technology
JD Retail Technology
May 31, 2018 · Industry Insights

Inside JD.com’s Review & Share System: Architecture, Challenges, and Lessons

JD.com’s review and share platform combines multi‑dimensional rating, text, image and video content with a modular middleware, MySQL/MongoDB/HBase storage, Solr search, Redis caching and a management backend, detailing its architecture, daily operations, component‑based design, scalability challenges and future enhancements.

CachingComponentizationScalability
0 likes · 21 min read
Inside JD.com’s Review & Share System: Architecture, Challenges, and Lessons
Full-Stack Internet Architecture
Full-Stack Internet Architecture
May 24, 2018 · Backend Development

Designing a Basic Product Model for E‑commerce Systems

The article analyzes the evolution of e‑commerce product modeling, introduces categories, brands, and attribute‑based filtering, distinguishes products from SKUs, and proposes a backend‑centric data model that supports flexible search, display, and integration with other business services.

AttributesDatabase Designe-commerce
0 likes · 5 min read
Designing a Basic Product Model for E‑commerce Systems
Xianyu Technology
Xianyu Technology
May 10, 2018 · Artificial Intelligence

Mercari Price Prediction Using TFIDF, GRU, and Ensemble Models

By converting Mercari’s product titles, descriptions, and categorical data into TF‑IDF vectors and embeddings, training MLP and GRU networks, and ensembling them with weighted averaging, the authors achieve a 0.3873 RMSLE—matching the competition’s top score—and demonstrate the power of text‑only price prediction for C2C marketplaces.

GRUMachine LearningTFIDF
0 likes · 8 min read
Mercari Price Prediction Using TFIDF, GRU, and Ensemble Models
Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 28, 2018 · Artificial Intelligence

How Alibaba Uses AI to Power the New Retail Ecosystem

Alibaba’s recent Search and Computing Open Day revealed how AI, big‑data algorithms and multi‑objective optimization are reshaping its e‑commerce ecosystem, boosting commercial efficiency, supporting diverse merchants, and driving innovative retail experiences for billions of users.

AIAlgorithmsAlibaba
0 likes · 18 min read
How Alibaba Uses AI to Power the New Retail Ecosystem
JD Tech
JD Tech
Apr 28, 2018 · Backend Development

Evolution of JD.com Product Architecture: From Database Replication to Platformized Service Architecture (V1.0‑V3.0)

The article chronicles JD.com's product system evolution—from early SQL Server replication bottlenecks, through Redis‑based read services and full service‑oriented redesign with MySQL clustering, to a decoupled, multi‑layered platform that achieves high availability, scalability, and operational efficiency for billions of SKUs.

Scalabilitybackende-commerce
0 likes · 12 min read
Evolution of JD.com Product Architecture: From Database Replication to Platformized Service Architecture (V1.0‑V3.0)
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Apr 26, 2018 · Operations

How VIPshop Transformed Its Architecture from Single Apps to Scalable Service Platforms

This article examines VIPshop's evolution from a simple LAMP‑based outlet site to a multi‑layered, service‑oriented e‑commerce platform, detailing its business model shifts, architectural milestones, key design principles, and governance strategies for building a flexible, high‑availability operation system.

System Architecturee-commerceplatform design
0 likes · 13 min read
How VIPshop Transformed Its Architecture from Single Apps to Scalable Service Platforms
Suning Technology
Suning Technology
Apr 16, 2018 · Artificial Intelligence

How Suning’s AI‑Powered Banner Design Platform Revolutionizes E‑Commerce Advertising

This article explains how Suning’s intelligent design platform automates banner creation for online retail by combining deep‑learning image segmentation, rule‑based layout generation, multi‑task evaluation models, and adaptive coloring, dramatically reducing manual effort while boosting personalization and conversion rates.

AIautomationbanner design
0 likes · 17 min read
How Suning’s AI‑Powered Banner Design Platform Revolutionizes E‑Commerce Advertising
21CTO
21CTO
Apr 9, 2018 · Artificial Intelligence

How E‑Commerce Platforms Build Effective Product Recommendation Systems

This article explains the fundamentals and advanced techniques of e‑commerce product recommendation systems, covering conventional and personalized approaches, user profiling, data collection, storage, modeling, the three‑stage pipeline of preprocessing, recall and ranking, as well as system architecture, challenges, and key algorithms such as LR and GBDT.

Machine Learningdata pipelinee-commerce
0 likes · 17 min read
How E‑Commerce Platforms Build Effective Product Recommendation Systems
JD.com Experience Design Center
JD.com Experience Design Center
Apr 9, 2018 · Product Management

Why X‑type vs Y‑type Product Categorization Matters for E‑Commerce User Experience

This article examines how traditional attribute‑based (X‑type) and user‑label‑based (Y‑type) product classifications affect shopper behavior across three scenarios—browsing, precise search, and casual exploration—and offers practical strategies for combining both approaches to improve e‑commerce category design and operations.

category designe-commerceproduct categorization
0 likes · 10 min read
Why X‑type vs Y‑type Product Categorization Matters for E‑Commerce User Experience
JD Retail Technology
JD Retail Technology
Feb 7, 2018 · Product Management

京东游戏精灵: A Component-Based Game Platform for Business Engagement

京东游戏精灵 is a component-based game platform that enables businesses to rapidly develop and deploy interactive games by reusing pre-built modules, significantly reducing development time and costs while enhancing user engagement through features like red envelopes and rewards.

Business EngagementComponentizationGame Development
0 likes · 4 min read
京东游戏精灵: A Component-Based Game Platform for Business Engagement
Java Backend Technology
Java Backend Technology
Feb 6, 2018 · Artificial Intelligence

How JD Built a Scalable AI-Powered Recommendation Engine for E‑Commerce

This article details JD's evolution from rule‑based recommendations to a multi‑screen, AI‑driven personalization platform, describing its system architecture, data pipelines, feature services, and key technologies that enable real‑time, user‑centric product suggestions across the e‑commerce ecosystem.

Artificial IntelligenceBig DataMachine Learning
0 likes · 20 min read
How JD Built a Scalable AI-Powered Recommendation Engine for E‑Commerce
JD Tech
JD Tech
Feb 1, 2018 · Artificial Intelligence

Telepath: A Vision‑Based Recommender Model Inspired by Human Visual Perception

The Telepath model, presented at AAAI 2018, leverages a biologically‑inspired visual extraction pipeline and dual interest‑understanding networks to improve ranking in large‑scale e‑commerce recommendation and advertising, achieving significant offline and online gains in CTR, GMV, and ROI.

AAAI 2018Telepathdeep learning
0 likes · 13 min read
Telepath: A Vision‑Based Recommender Model Inspired by Human Visual Perception
Alibaba Cloud Developer
Alibaba Cloud Developer
Feb 1, 2018 · Artificial Intelligence

How Alibaba’s Graph‑Based Bundle Mining Doubles Conversion in E‑Commerce

Alibaba’s latest bundle‑mining system leverages weighted graph embedding and real‑time sampling to recommend complementary products, replacing traditional item‑to‑item similarity, boosting click‑through rates by up to 13% offline and 4% online during the Double‑11 promotion while handling billions of edges.

Real-time Processingbundle mininge-commerce
0 likes · 12 min read
How Alibaba’s Graph‑Based Bundle Mining Doubles Conversion in E‑Commerce
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Jan 28, 2018 · Backend Development

Designing Scalable E‑Commerce Architecture: From Business to Technical Layers

This article explores how to design a high‑performance, highly available, and scalable e‑commerce platform by separating business and technical architectures, detailing subsystem decomposition, scaling strategies, and the evolution from simple single‑server setups to distributed, clustered solutions.

Distributed SystemsScalabilityarchitecture
0 likes · 13 min read
Designing Scalable E‑Commerce Architecture: From Business to Technical Layers
21CTO
21CTO
Jan 24, 2018 · Product Management

Designing a Scalable E‑Commerce Product Model: From SPU to SKU

This article walks through the evolution of e‑commerce product modeling, explaining how categories, brands, attributes, SPU and SKU concepts combine to form a flexible system that supports browsing, filtering, and detailed product pages while keeping the architecture maintainable.

CatalogSPUattribute design
0 likes · 10 min read
Designing a Scalable E‑Commerce Product Model: From SPU to SKU
Architecture Digest
Architecture Digest
Jan 22, 2018 · Fundamentals

Designing a Basic Product Model for E‑commerce Systems

This article explains how to design a flexible product model for e‑commerce by evolving from simple category‑article structures to a richer schema that includes brands, attributes, specifications, and separate SKU entities, enabling effective filtering, search, and integration with other services.

Attributesdata modelinge-commerce
0 likes · 6 min read
Designing a Basic Product Model for E‑commerce Systems
Suning Technology
Suning Technology
Jan 17, 2018 · Information Security

How Suning Built a Robust Security Architecture for E‑Commerce

This article examines Suning's evolution from a basic network‑operations unit to a comprehensive security ecosystem, detailing its organizational structure, protection platforms, integrated risk‑control mechanisms, big‑data threat perception system, and management processes that together safeguard its e‑commerce operations.

Information SecuritySecurity ArchitectureThreat Detection
0 likes · 12 min read
How Suning Built a Robust Security Architecture for E‑Commerce
Alibaba Cloud Developer
Alibaba Cloud Developer
Jan 17, 2018 · Operations

How Alibaba Uses AI Models to Optimize Double 11 Consumer Benefits

Alibaba leverages multiple machine‑learning models—including spending forecasts, discount‑sensitivity, spread‑ability, category‑preference, and churn prediction—to intelligently allocate shopping vouchers and red packets during Double 11, boosting consumer engagement, merchant sales, and overall platform GMV.

Machine LearningMarketing Analyticsconsumer behavior
0 likes · 9 min read
How Alibaba Uses AI Models to Optimize Double 11 Consumer Benefits
Efficient Ops
Efficient Ops
Jan 15, 2018 · Operations

How to Build a Full‑Chain Load‑Testing Platform for E‑Commerce in 2 Days

This article details how Xiaohongshu tackled rapid growth challenges by designing, implementing, and operating a full‑link performance testing platform in just two days, covering system architecture, testing models, collaborative deployment, capacity planning, and practical advice for teams seeking reliable e‑commerce load testing.

Operationse-commercefull-chain testing
0 likes · 9 min read
How to Build a Full‑Chain Load‑Testing Platform for E‑Commerce in 2 Days
网易UEDC
网易UEDC
Jan 4, 2018 · Product Management

What Drives Successful E‑Commerce Membership Systems? A Comparative Analysis

This report examines the latest membership systems of major e‑commerce platforms—including Amazon Prime, Alibaba APASS, JD Plus, and Kaola/Yanxuan—detailing their tier structures, scoring mechanisms, benefit designs, and the strategic considerations behind building effective loyalty programs.

User Segmentatione-commerceloyalty program
0 likes · 8 min read
What Drives Successful E‑Commerce Membership Systems? A Comparative Analysis
Alibaba Cloud Developer
Alibaba Cloud Developer
Dec 29, 2017 · Artificial Intelligence

How Alibaba Leverages Deep Learning to Revolutionize E‑Commerce Search

Alibaba’s search team outlines how deep learning transforms e‑commerce search and recommendation, detailing system infrastructure, AI‑driven features like intelligent interaction, semantic search, personalized matching, performance optimizations, multi‑agent learning, and future plans for unified user and query representations.

AIdeep learninge-commerce
0 likes · 17 min read
How Alibaba Leverages Deep Learning to Revolutionize E‑Commerce Search
网易UEDC
网易UEDC
Dec 25, 2017 · Product Management

Designing an Effective E‑Commerce Marketing Flow: From Concept to Multi‑Platform Implementation

This article examines the end‑to‑end design of NetEase Yanxuan's marketing flow, covering its conceptual definition, background challenges, step‑by‑step UI/UX enhancements across web and mobile, promotion tool integration, price‑tag strategies, and multi‑device adaptation to boost conversion and user experience.

UXe-commercemarketing design
0 likes · 10 min read
Designing an Effective E‑Commerce Marketing Flow: From Concept to Multi‑Platform Implementation
Alibaba Cloud Developer
Alibaba Cloud Developer
Dec 20, 2017 · Artificial Intelligence

How Alibaba Leverages Graph Embedding & Deep Learning for Double 11 Home‑Page Recommendations

This article explains how Alibaba's recommendation team built a large‑scale, AI‑driven personalization pipeline for the Double 11 shopping festival, using graph‑embedding recall, deep‑learning ranking models such as DeepResNet, DCN, and a custom XTensorflow platform to improve coverage, diversity, and click‑through rates.

AIdeep learninge-commerce
0 likes · 20 min read
How Alibaba Leverages Graph Embedding & Deep Learning for Double 11 Home‑Page Recommendations
Architecture Digest
Architecture Digest
Dec 15, 2017 · Backend Development

Evolution and Practice of Suning E‑commerce Inventory System Architecture for Double 11 Peak

This article details the business scope, challenges, architectural evolution, and practical solutions of Suning's inventory system—including front‑mid‑back separation, self‑developed high‑concurrency services, unitization, multi‑active deployment, and pre‑Double 11 capacity planning—to ensure stable, scalable e‑commerce operations during massive traffic spikes.

Distributed SystemsDouble 11Scalability
0 likes · 17 min read
Evolution and Practice of Suning E‑commerce Inventory System Architecture for Double 11 Peak
Architecture Digest
Architecture Digest
Nov 28, 2017 · Product Management

Reconstructing Business Value and Productizing Design for an E‑commerce Backend Dashboard

This article presents a comprehensive case study on redesigning an e‑commerce backend workbench, detailing how designers redefined commercial value, conducted agile user research, set product goals for buyer and seller interfaces, and applied systematic interaction, visual, and motion design to create a productized solution.

UI/UXUser Researchbackend design
0 likes · 13 min read
Reconstructing Business Value and Productizing Design for an E‑commerce Backend Dashboard
ITPUB
ITPUB
Nov 13, 2017 · Big Data

How Real‑Time Big Data Stream Computing Powers Double 11 E‑Commerce Success

The article explains how NetEase’s real‑time big‑data stream computing platform, Sloth, handles massive, continuously generated data during China’s Double 11 shopping festival, covering use cases, architectural shifts from batch to incremental processing, technical challenges, and the role of stream‑SQL for easier development.

Distributed SystemsReal‑Time ComputingSQL
0 likes · 16 min read
How Real‑Time Big Data Stream Computing Powers Double 11 E‑Commerce Success
ITPUB
ITPUB
Nov 13, 2017 · Big Data

How Real-Time Big Data Streaming Powers Double 11 E‑Commerce Success

The article explains how continuous data generation and real‑time stream processing enable e‑commerce platforms like NetEase Kaola to handle massive Double 11 traffic, showcasing use cases, architectural shifts from batch to incremental computing, and the technical challenges of latency, accuracy, and fault tolerance.

Distributed SystemsReal-time StreamingSQL
0 likes · 15 min read
How Real-Time Big Data Streaming Powers Double 11 E‑Commerce Success
ITPUB
ITPUB
Nov 12, 2017 · Backend Development

How Suning Scaled Its Membership System for Double‑11: Architecture Evolution and Multi‑Active Deployment

The article details Suning’s decade‑long evolution of its membership platform for the Double‑11 shopping festival, covering early offline CS architecture, the transition to a WebSphere‑based e‑commerce system, vertical module splitting, data migration with Spark and Hive, and the implementation of same‑city multi‑active deployment.

Data MigrationScalabilitySystem Architecture
0 likes · 18 min read
How Suning Scaled Its Membership System for Double‑11: Architecture Evolution and Multi‑Active Deployment
ITPUB
ITPUB
Nov 12, 2017 · Information Security

How E‑commerce Platforms Fight Double‑11 Fraud: Inside NetEase’s Anti‑Cheat Architecture

This article examines the rise of organized “wool‑pulling” fraud groups during China’s Double‑11 shopping festival, outlines their tools and tactics, and details NetEase Cloud Security’s multi‑layered anti‑fraud system—including captcha, SMS verification, IP rules, device fingerprinting, rule engines, user profiling, network graph analysis, and blacklist strategies—to protect e‑commerce platforms.

Double 11Rule Engineanti-fraud
0 likes · 16 min read
How E‑commerce Platforms Fight Double‑11 Fraud: Inside NetEase’s Anti‑Cheat Architecture
ITPUB
ITPUB
Nov 11, 2017 · Backend Development

How JD.com Scaled Double‑11 with Dynamic Load Balancing, Rate Limiting, and AI‑Driven Upgrades

This article examines JD.com’s technical strategies for the 2023 Double‑11 shopping festival, detailing dynamic load‑balancing and rate‑limiting mechanisms, evolving fault‑drill practices, and AI‑powered product and marketing enhancements that together ensure high‑concurrency stability and improved user experience.

AIFault InjectionJD.com
0 likes · 14 min read
How JD.com Scaled Double‑11 with Dynamic Load Balancing, Rate Limiting, and AI‑Driven Upgrades
Ctrip Technology
Ctrip Technology
Oct 19, 2017 · Artificial Intelligence

Intelligent Human‑Computer Interaction: Technical Practices of Alibaba’s “Ali Xiaomi” Chatbot

This article presents a comprehensive overview of Alibaba’s intelligent chatbot “Ali Xiaomi”, covering industry context, e‑commerce deployment, NLU architecture, intent‑matching layers, deep‑learning‑based intent classification, reinforcement‑learning‑driven recommendation, knowledge‑graph‑enhanced services, and hybrid retrieval‑generation dialogue models, with future outlooks for AI‑driven interaction.

deep learninge-commerceknowledge graph
0 likes · 18 min read
Intelligent Human‑Computer Interaction: Technical Practices of Alibaba’s “Ali Xiaomi” Chatbot
JD Retail Technology
JD Retail Technology
Sep 18, 2017 · Product Management

Innovation in Product Management: Insights from JD POP Platform Senior Technical Product Manager Zhou Yinhua

In this interview, JD POP senior technical product manager Zhou Yinhua shares her experiences on driving innovation within product management, detailing the importance of innovative thinking, the challenges faced, the development of the POP merchant consulting platform, and how these practices have strengthened JD’s e‑commerce operations.

Consulting PlatformInnovationJD POP
0 likes · 9 min read
Innovation in Product Management: Insights from JD POP Platform Senior Technical Product Manager Zhou Yinhua
Hujiang Technology
Hujiang Technology
Sep 13, 2017 · Backend Development

Domain-Driven Design of an E‑commerce Transaction System

This article explores how to apply Domain‑Driven Design principles to structure and simplify a complex e‑commerce transaction system, detailing sub‑domain division, model refinement, core order‑service design, and the use of design patterns to achieve a maintainable backend architecture.

Design PatternsDomain-Driven Designe-commerce
0 likes · 10 min read
Domain-Driven Design of an E‑commerce Transaction System
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 28, 2017 · Artificial Intelligence

Can Machine Learning Predict Baby Life Stages to Boost E‑Commerce Recommendations?

This paper introduces a dynamic fusion algorithm that leverages multi‑dimensional logistic regression and rich consumer behavior features to infer infants' life stages from parental e‑commerce actions, demonstrating significant accuracy improvements over memory‑less baselines across multiple months of Taobao data.

Machine Learningconsumer behaviordynamic fusion
0 likes · 13 min read
Can Machine Learning Predict Baby Life Stages to Boost E‑Commerce Recommendations?
21CTO
21CTO
Aug 24, 2017 · Databases

How JD.com Guarantees Database Performance During Billion‑Scale Sales Events

This article details JD.com’s comprehensive strategies—including architecture design, pre‑event preparation, real‑time safeguards, and post‑event analysis—to ensure MySQL databases remain high‑performance and highly available during massive traffic spikes like 618 and Double‑11 sales.

Performance Optimizationautomationdatabase scaling
0 likes · 23 min read
How JD.com Guarantees Database Performance During Billion‑Scale Sales Events
21CTO
21CTO
Aug 19, 2017 · Backend Development

How Alibaba Scaled Its E‑Commerce: From LAMP to Distributed Multi‑Active Architecture

This article traces Alibaba's e‑commerce platform evolution from a simple LAMP stack through Java migration, distributed caching, custom middleware, and multi‑active global deployment, highlighting the technical challenges, solutions like HSF RPC, TDDL sharding, and the high‑availability practices that now power Alibaba Cloud services.

AlibabaScalabilityarchitecture
0 likes · 19 min read
How Alibaba Scaled Its E‑Commerce: From LAMP to Distributed Multi‑Active Architecture
21CTO
21CTO
Aug 17, 2017 · Artificial Intelligence

How Alibaba’s Deep Interest Network Powers Personalized Shopping for 400 Million Users

Alibaba’s Vice President Gu XueMei explained at the 40th ACM SIGIR conference how deep interest networks, driven by big data and large‑scale deep learning, enable highly personalized e‑commerce experiences that dramatically reduce user churn and boost click‑through rates.

Recommendation Systemse-commercepersonalization
0 likes · 5 min read
How Alibaba’s Deep Interest Network Powers Personalized Shopping for 400 Million Users
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 7, 2017 · Artificial Intelligence

Probabilistic Pair Recommendations & IRGAN: Boosting E‑commerce Click‑Through

This article summarizes two SIGIR 2017 papers: one introduces a probabilistic latent‑class model for shopping‑pair push recommendations that improves e‑commerce click‑through rates by leveraging co‑purchase and view‑then‑purchase graphs, and the other presents IRGAN, a GAN‑based framework that unifies generative and discriminative information‑retrieval models, achieving state‑of‑the‑art results across web search, recommendation, and QA tasks.

GaNe-commerceinformation retrieval
0 likes · 9 min read
Probabilistic Pair Recommendations & IRGAN: Boosting E‑commerce Click‑Through
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Jul 29, 2017 · Backend Development

How Tmall Scaled Its Product Pages for Double‑11: CDN‑Driven Staticization Journey

During Alibaba’s Double‑11 shopping festivals, Tmall’s product‑detail and shop pages faced traffic spikes dozens of times higher than normal, prompting a multi‑stage architectural evolution—from early static‑page caching to unified web cache and finally full CDN staticization—delivering massive performance gains, high availability, and scalable cost‑effective solutions.

CDNe-commercestaticization
0 likes · 18 min read
How Tmall Scaled Its Product Pages for Double‑11: CDN‑Driven Staticization Journey
Beike Product & Technology
Beike Product & Technology
Jul 28, 2017 · Backend Development

Design and Implementation of an E‑Commerce System: Business, Efficiency, Security, and Optimization Insights

This article shares the end‑to‑end design and development experience of a startup e‑commerce platform, covering business requirement analysis, efficient development practices, security measures, performance and architecture optimizations, as well as team‑building lessons learned.

backende-commercesecurity
0 likes · 20 min read
Design and Implementation of an E‑Commerce System: Business, Efficiency, Security, and Optimization Insights
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Jul 27, 2017 · Frontend Development

How JD.com Scales Its Homepage: Frontend Architecture, Static Rendering, and Engineering Practices

This article details JD.com's front‑end architecture for its homepage, covering the challenges of massive DOM growth, static page generation via CDN, layered page loading strategies, disaster‑recovery measures, performance optimizations, and the JDF engineering toolchain that enables modular development, automated builds, and efficient deployment in a high‑traffic e‑commerce environment.

EngineeringFrontendPerformance
0 likes · 24 min read
How JD.com Scales Its Homepage: Frontend Architecture, Static Rendering, and Engineering Practices
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Jul 16, 2017 · Operations

How Top E‑Commerce Platforms Engineer Scalable, High‑Performance Architecture

This article consolidates e‑commerce platform architecture practices, covering design principles, multi‑level caching, indexing strategies, parallel and distributed computing, high availability, scaling techniques, resource optimization, static blueprint, component analysis, and supporting middleware such as load balancers, routers, HA, messaging, caching, buffering, search, and log collection.

CachingDistributed Systemsarchitecture
0 likes · 24 min read
How Top E‑Commerce Platforms Engineer Scalable, High‑Performance Architecture
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Jul 15, 2017 · Databases

How to Design and Implement Horizontal Database Sharding: A Real‑World Case Study

This article presents a comprehensive analysis of horizontal database sharding, detailing the design decisions, partitioning dimensions, routing, pagination handling, lookup mapping, and deployment steps based on a real‑world implementation at a large e‑commerce platform, offering practical guidance for scaling order databases.

DALOraclee-commerce
0 likes · 14 min read
How to Design and Implement Horizontal Database Sharding: A Real‑World Case Study
Efficient Ops
Efficient Ops
Jun 19, 2017 · Operations

How JD.com’s ForceBot Revolutionized 618 Sale Load Testing

This article examines JD.com’s 618 shopping festival performance, the deployment of unmanned delivery robots, and the design and architecture of the ForceBot full‑link load‑testing system that enabled precise capacity planning and bottleneck detection for massive e‑commerce traffic.

System Architecturecapacity planninge-commerce
0 likes · 8 min read
How JD.com’s ForceBot Revolutionized 618 Sale Load Testing
MaGe Linux Operations
MaGe Linux Operations
Jun 3, 2017 · Information Security

The Dark Side of Web Crawling: Industry Secrets, Technical Battles, and Future Trends

This article explores the hidden, often unglamorous world of web crawling and anti‑crawling, detailing why companies need these technologies, the massive traffic they generate, the technical arms race between crawlers and defenders, and the evolving strategies and challenges that shape the industry today.

Information SecurityWeb Crawlinganti‑crawling
0 likes · 21 min read
The Dark Side of Web Crawling: Industry Secrets, Technical Battles, and Future Trends
Alibaba Cloud Developer
Alibaba Cloud Developer
May 20, 2017 · Artificial Intelligence

How Alibaba’s AI‑Driven Information Retrieval Is Shaping E‑Commerce Futures

The second “Frontiers and Future of Information Retrieval” forum, co‑hosted by the Chinese Computer Society, Alibaba and academic committees, showcased how massive, structured e‑commerce data and AI algorithms are revolutionizing search, customer service, and research collaborations across the industry.

AlibabaBig Datae-commerce
0 likes · 4 min read
How Alibaba’s AI‑Driven Information Retrieval Is Shaping E‑Commerce Futures
Alibaba Cloud Developer
Alibaba Cloud Developer
May 11, 2017 · Artificial Intelligence

How Alibaba’s ‘Ali Xiaomi’ Chatbot Merges NLU, Knowledge Graphs, and Deep RL

Alibaba’s ‘Ali Xiaomi’ chatbot leverages a layered architecture that integrates intent recognition, multi‑type matching, knowledge‑graph‑based entity management, deep reinforcement learning, and hybrid retrieval‑generation models to deliver high‑accuracy, scalable conversational services across e‑commerce, customer support, and intelligent recommendation scenarios.

Chatbotdeep reinforcement learninge-commerce
0 likes · 18 min read
How Alibaba’s ‘Ali Xiaomi’ Chatbot Merges NLU, Knowledge Graphs, and Deep RL
Ctrip Technology
Ctrip Technology
May 6, 2017 · Artificial Intelligence

Product Matching in E‑commerce: Rule‑based, Feature‑Engineering, and Pure Data‑driven Approaches Using Factorization Machines

This article examines e‑commerce product matching, comparing rule‑based methods, feature‑engineering models, and a pure data‑driven Factorization Machine approach, detailing their advantages, challenges, training techniques, and successive optimizations to improve matching accuracy and operational efficiency.

e-commercefactorization machinesproduct matching
0 likes · 12 min read
Product Matching in E‑commerce: Rule‑based, Feature‑Engineering, and Pure Data‑driven Approaches Using Factorization Machines
Qunar Tech Salon
Qunar Tech Salon
Apr 20, 2017 · Backend Development

Evolution of Large‑Scale E‑commerce Backend Architecture: From Single Server to Distributed Systems

This article outlines how a massive e‑commerce platform like Taobao evolves its backend architecture step by step—from an all‑in‑one server through service separation, caching, load balancing, session management, database sharding, CDN acceleration, and finally distributed search—highlighting the motivations, trade‑offs, and key design considerations at each stage.

Backend ArchitectureCachingdatabase sharding
0 likes · 11 min read
Evolution of Large‑Scale E‑commerce Backend Architecture: From Single Server to Distributed Systems
21CTO
21CTO
Apr 19, 2017 · Artificial Intelligence

How Alibaba Transformed E‑Commerce Search with Real‑Time AI and Reinforcement Learning

Alibaba’s e‑commerce search engine evolved over three years from offline batch models to a sophisticated AI-driven system that integrates real‑time feature ingestion, online learning, deep and reinforcement learning, enabling dynamic personalization and decision‑making that boosts conversion during high‑traffic events like Double 11.

AIOnline LearningReal‑Time Computing
0 likes · 15 min read
How Alibaba Transformed E‑Commerce Search with Real‑Time AI and Reinforcement Learning
Suning Technology
Suning Technology
Apr 18, 2017 · Artificial Intelligence

How Deep Learning Is Revolutionizing E‑Commerce Search and Chatbots

At the 2017 QCon Beijing conference, Suning’s Silicon Valley Research Institute director Jim demonstrated how deep‑learning techniques can transform e‑commerce by vectorizing product data for smarter search relevance and by combining AI models with limited labeled data to build conversational chat‑bot platforms that understand user intent.

AIChatbotdeep learning
0 likes · 5 min read
How Deep Learning Is Revolutionizing E‑Commerce Search and Chatbots
dbaplus Community
dbaplus Community
Apr 13, 2017 · Backend Development

Scalable Small .NET E‑Commerce Architecture: Monitoring, DB Master‑Slave & Capacity Planning

This guide walks through the evolution of a small .NET‑based e‑commerce system, covering its initial LAMP‑style setup, detailed backend architecture, logging and monitoring solutions, master‑slave database design, shared‑storage image server, mobile M‑site construction, capacity estimation methods, and caching strategies.

DatabaseMonitoringarchitecture
0 likes · 22 min read
Scalable Small .NET E‑Commerce Architecture: Monitoring, DB Master‑Slave & Capacity Planning
21CTO
21CTO
Apr 3, 2017 · Backend Development

Inside Mogujie's Search Engine: Architecture and Real‑Time Ranking Flow

This article details Mogujie's end‑to‑end search system architecture, describing both offline and online components such as Topn, ABTest, QR, UPS, the search engine, precision ranking, and feature management, and walks through a concrete online request example from query to final ranked results.

Backend DevelopmentSearch Architecturee-commerce
0 likes · 12 min read
Inside Mogujie's Search Engine: Architecture and Real‑Time Ranking Flow
Suning Technology
Suning Technology
Mar 28, 2017 · Product Management

Key Takeaways from Suning's 2017 Internet Product Manager Forum

The 2017 Suning Internet Product Manager Forum gathered over 500 professionals to share data‑driven product, marketing, and O2O strategies, offering practical insights from leading e‑commerce and tech companies on growth hacking, precise targeting, and innovative retail solutions.

Growth HackingMarketingO2O
0 likes · 8 min read
Key Takeaways from Suning's 2017 Internet Product Manager Forum